On the Generalization of Logarithmic Upper Function for Solution of a Linear Stochastic Differential Equation with a Nonexponentially Stable Matrix
- 作者: Palamarchuk E.S.1,2
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隶属关系:
- Central Economics and Mathematics Institute
- Steklov Mathematical Institute
- 期: 卷 54, 编号 2 (2018)
- 页面: 193-200
- 栏目: Ordinary Differential Equations
- URL: https://journal-vniispk.ru/0012-2661/article/view/154689
- DOI: https://doi.org/10.1134/S0012266118020064
- ID: 154689
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详细
The problem of finding the upper function for the squared norm of the solution of a linear stochastic differential equation with a nonexponentially stable matrix is solved. A novel characteristic of a nonconstant stability rate of the matrix is introduced. The determined upper function generalizes the previously known logarithmic estimate and is expressed in closed form in terms of the rate of matrix stability. Examples of determining the upper function for different stability rates are provided.
作者简介
E. Palamarchuk
Central Economics and Mathematics Institute; Steklov Mathematical Institute
编辑信件的主要联系方式.
Email: e.palamarchuck@gmail.com
俄罗斯联邦, Moscow, 117418; Moscow, 119991
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